研究目的
To investigate solar PV generation and design a switched reluctance motor actuation system for smart agriculture, focusing on efficiency, cost reduction, and speed control using ANFIS.
研究成果
The proposed system with a modified boost converter and ANFIS controller effectively reduces switching losses and torque ripples in SRM drives, improving efficiency and dynamic response. It is feasible for smart agriculture applications, offering cost reduction and better performance compared to conventional methods.
研究不足
The study assumes ideal conditions for PV modeling without losses in some parts; real-world environmental factors like shading or temperature variations may affect performance. The system is tested in a controlled laboratory setup, and scalability to larger agricultural applications may require further optimization.
1:Experimental Design and Method Selection:
The study uses a standalone solar PV system to power an SRM drive, with a modified boost converter for single-stage power conversion and an ANFIS controller for speed control. Simulation is done in MATLAB-SIMULINK, and hardware implementation uses a SPEEDGOAT real-time target machine.
2:Sample Selection and Data Sources:
A solar PV panel (Lynton manufactured) is used for emulation, and an 8/6 pole SRM motor is employed. Data includes PV output, motor speed, and torque.
3:List of Experimental Equipment and Materials:
Solar PV panel, modified boost converter with IGBT switches, SRM motor, hall sensors, encoder, SPEEDGOAT controller, optocouplers, and MATLAB-SIMULINK software.
4:Experimental Procedures and Operational Workflow:
PV output is fed to the modified boost converter, which supplies DC voltage to the SRM drive. Speed is controlled via ANFIS based on encoder feedback. Simulations and real-time tests are conducted under varying irradiance and load conditions.
5:Data Analysis Methods:
Performance is analyzed through simulation results (e.g., speed, torque waveforms) and hardware measurements, comparing ANFIS with fuzzy controllers for efficiency and ripple reduction.
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MATLAB-SIMULINK
MathWorks
Simulation environment for modeling and analyzing the solar PV system, SRM drive, and ANFIS controller.
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SPEEDGOAT
Real-time target machine
Speedgoat
FPGA-based real-time controller for implementing and testing the ANFIS control algorithm in hardware.
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Solar PV panel
SLP020-24U
Lynton
Generates electrical power from solar energy to feed the actuation system.
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IGBT
Semiconductor switch used in the modified boost converter for power conversion.
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SRM motor
8/6 pole
Actuation motor driven by the solar PV system for agricultural applications.
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Encoder
Measures rotor position and speed for feedback in the control system.
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Hall sensor
Detects position for electronic commutation of the SRM drive.
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Optocoupler
Provides isolation between the SPEEDGOAT controller and gate drive circuits.
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